2023 IEEE 12th Data Driven Control and Learning Systems Conference (DDCLS)最新文献_第8页

An Overview of Optimal Control Methods for Singularly Perturbed Systems 奇异摄动系统最优控制方法综述

2023 IEEE 12th Data Driven Control and Learning Systems Conference (DDCLS) Pub Date : 2023-05-12 DOI: 10.1109/DDCLS58216.2023.10166648

Hao Nie, Jinna Li

引用次数: 0

Command Filtered Backstepping Control of a Two-Link Flexible Joint Manipulator with Uncertainties Based on Reduced-Order ESO 基于降阶ESO的不确定双连杆柔性关节机械臂命令滤波反演控制

2023 IEEE 12th Data Driven Control and Learning Systems Conference (DDCLS) Pub Date : 2023-05-12 DOI: 10.1109/DDCLS58216.2023.10165812

Xiangyin Fei, Changzhong Pan, Lan Zhou, Peiyin Xiong, Meiliu Li

{"title":"Command Filtered Backstepping Control of a Two-Link Flexible Joint Manipulator with Uncertainties Based on Reduced-Order ESO","authors":"Xiangyin Fei, Changzhong Pan, Lan Zhou, Peiyin Xiong, Meiliu Li","doi":"10.1109/DDCLS58216.2023.10165812","DOIUrl":"https://doi.org/10.1109/DDCLS58216.2023.10165812","url":null,"abstract":"The motion control of flexible joint manipulators (FJMs) is a hot topic in the field of robot control, and the uncertainties including parameter perturbations and disturbances are the key challenges in the development of control strategies for FJMs. In this paper, we take a two-link FJM with complex uncertainties as the object, and present a command filtered backstepping control approach based on reduced-order extended state observer (RESO) for the trajectory tracking control of the two-link FJM with high precision. To enhance the robustness of the control system, an RESO which takes parameter perturbations, friction term and external disturbances as the lumped disturbances is constructed to estimate and compensate for the disturbances. The second-order command filter technique is introduced to eliminate the “explosion of complexity” problem of the conventional backstepping method, and an error compensation dynamic system is developed to reduce the potential filtering errors. All signals of the closed-loop system are proved to be uniformly ultimately bounded by Lyapunov theorem. Simulation reaults are shown to demonstrate the effectiveness and efficiency of the proposed control method.","PeriodicalId":415532,"journal":{"name":"2023 IEEE 12th Data Driven Control and Learning Systems Conference (DDCLS)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124337698","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Resilient Distributed Secondary Control Strategy for New Energy Shipboard Microgrid Against Bounded FDI Attacks 针对有界FDI攻击的新能源舰载微电网弹性分布式二次控制策略

2023 IEEE 12th Data Driven Control and Learning Systems Conference (DDCLS) Pub Date : 2023-05-12 DOI: 10.1109/DDCLS58216.2023.10165958

Liangbin Wang, Renhai Yu, Jin Lv, Bo Zhang, Fuzhi Wang, Fei Teng

{"title":"Resilient Distributed Secondary Control Strategy for New Energy Shipboard Microgrid Against Bounded FDI Attacks","authors":"Liangbin Wang, Renhai Yu, Jin Lv, Bo Zhang, Fuzhi Wang, Fei Teng","doi":"10.1109/DDCLS58216.2023.10165958","DOIUrl":"https://doi.org/10.1109/DDCLS58216.2023.10165958","url":null,"abstract":"The application of shipboard microgrids (SMGs) makes it possible to effectively use renewable new energy on the shipboard platform. As renewable energy sources are connected to SMGs in the form of distributed generators (DGs), the openness of the system increases and so does the risk of exposure to cyber attacks. In this paper, a resilient distributed secondary frequency control strategy for SMGs is constructed to resist false data injection (FDI) attacks. An attacker can tamper with the information in the communication links between the DGs of a SMG to prevent the DGs from outputting stable power, thereby causing oscillations in the entire SMG. To increase resilience to FDI attacks, the proposed resilient control strategy introduces a control network layer interconnected with the original data transmission layer to form a hierarchical communication network. By setting the SMG parameters, the proposed strategy can well reduce the negative effects of FDI attacks on DGs and ensure the stable operation of SMGs. Finally, the simulation results verify the effectiveness of the strategy.","PeriodicalId":415532,"journal":{"name":"2023 IEEE 12th Data Driven Control and Learning Systems Conference (DDCLS)","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124706104","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Water Supply Network Optimization based on Improved Sparrow Search Algorithm 基于改进麻雀搜索算法的供水网络优化

2023 IEEE 12th Data Driven Control and Learning Systems Conference (DDCLS) Pub Date : 2023-05-12 DOI: 10.1109/DDCLS58216.2023.10166699

Xiaoyi Huang, Yung-Chung Wang, Jizheng Chu

{"title":"Water Supply Network Optimization based on Improved Sparrow Search Algorithm","authors":"Xiaoyi Huang, Yung-Chung Wang, Jizheng Chu","doi":"10.1109/DDCLS58216.2023.10166699","DOIUrl":"https://doi.org/10.1109/DDCLS58216.2023.10166699","url":null,"abstract":"The water supply network is an essential infrastructure for urban life, and designing a scientific and reasonable water supply network can not only reduce construction and operation and maintenance costs but also enhance the reliability of the system. However, the design of the system involves complex constraints, as well as optimizing the pipe network is a nonlinear problem that significantly impacts construction investments. Traditional optimization methods have demonstrated poor performance in pipe network optimization due to low convergence accuracy and weak global search capabilities. To address these shortcomings, this paper proposes an Improved Sparrow Search Algorithm (ISSA) that introduces a Levy flight strategy to increase spatial search diversity and eliminate the small search space in the late iteration period and random walk around the optimal solution. The improved algorithm is applied to Hanoi, New York, and ZJ pipe networks, showing that it can efficiently find the best cost design scheme while reducing calculation cost and realizing rapid optimization of the combination optimization problem.","PeriodicalId":415532,"journal":{"name":"2023 IEEE 12th Data Driven Control and Learning Systems Conference (DDCLS)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134518789","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Prediction of matte grade in the oxygen-rich top blown smelting based on WD-SSA-SVM algorithm 基于WD-SSA-SVM算法的富氧顶吹冶炼磨砂品位预测

2023 IEEE 12th Data Driven Control and Learning Systems Conference (DDCLS) Pub Date : 2023-05-12 DOI: 10.1109/DDCLS58216.2023.10167386

Xincai Li, Chunxi Yang, Xiufeng Zhang, Gengen Li

{"title":"Prediction of matte grade in the oxygen-rich top blown smelting based on WD-SSA-SVM algorithm","authors":"Xincai Li, Chunxi Yang, Xiufeng Zhang, Gengen Li","doi":"10.1109/DDCLS58216.2023.10167386","DOIUrl":"https://doi.org/10.1109/DDCLS58216.2023.10167386","url":null,"abstract":"In view of the defects of noise in the industrial data of the oxygen-rich top blown smelting and time lag in off-line detection of matte grade, it is difficult to accurately establish the prediction model of process parameters. A process parameter prediction model based on wavelet denoising sparrow search algorithm optimized support vector machine (WD-SSA-SVM) was proposed. Firstly, wavelet denoising is used to improve the quality of the data. Secondly, the sparrow search algorithm was used to optimize the support vector machine to establish the nonlinear relationship model between the melting process and the process index, and the model parameters were identified by the sample data after denoising, so as to effectively predict the process index of frosted sand grade in the process of the oxygen-rich top blown smelting. The experimental results on the actual production data of a smelter show that the WD-SSA-SVM model proposed in this paper has high accuracy, meets the accuracy requirements in the actual industrial production, and can effectively guide the optimization and adjustment of the operating parameters of the oxygen-rich top blown smelting process.","PeriodicalId":415532,"journal":{"name":"2023 IEEE 12th Data Driven Control and Learning Systems Conference (DDCLS)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134639961","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Salp Swarm Algorithm-based Model-free Adaptive Control Method and Its Application in Transformer Constant Temperature System 基于Salp群算法的无模型自适应控制方法及其在变压器恒温系统中的应用

2023 IEEE 12th Data Driven Control and Learning Systems Conference (DDCLS) Pub Date : 2023-05-12 DOI: 10.1109/DDCLS58216.2023.10167083

Zhen Li, Lei Jin, Guangjuan Ma, Shida Liu

{"title":"A Salp Swarm Algorithm-based Model-free Adaptive Control Method and Its Application in Transformer Constant Temperature System","authors":"Zhen Li, Lei Jin, Guangjuan Ma, Shida Liu","doi":"10.1109/DDCLS58216.2023.10167083","DOIUrl":"https://doi.org/10.1109/DDCLS58216.2023.10167083","url":null,"abstract":"Aiming at the problem of temperature control of transformer, a salp swarm algorithm-based model free adaptive control (SSA-MFAC) algorithm is proposed. In SSA-MFAC, the nonlinear dynamics of the transformer temperature control system is linearized using the dynamic linearization technology and a time-varying parameters named pseudo-partial derivative (PPD). Then, an SSA-MFAC controller is designed, and the salp swarm algorithm (SSA) is introduced to automatically optimize the controller parameters. Based on the salps group behavior in the ocean, the SSA method achieves the goal of controller parameter optimization by simulating the predatory behavior of the salps. The main advantage of SSA-MFAC method is that the controller only makes use of the operation data of the transformer constant temperature oil bath refrigeration unit instead of the specific mathematical model, and the controller parameters are obtained by using the SSA algorithm instead of experience. The algorithm is proved to be effective based on MATLAB/Simulink simulation platform.","PeriodicalId":415532,"journal":{"name":"2023 IEEE 12th Data Driven Control and Learning Systems Conference (DDCLS)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134535908","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Refined Disturbance Rejection for Permanent Magnet Synchronous Motors with Multi-Source Disturbances Using Equivalent Input Disturbance Approach 基于等效输入扰动方法的多源永磁同步电机精扰抑制

2023 IEEE 12th Data Driven Control and Learning Systems Conference (DDCLS) Pub Date : 2023-05-12 DOI: 10.1109/DDCLS58216.2023.10167229

Tao Yang, Youwu Du, Erlin Zhu, Bo Li, Zhenhua Han, Mingxing Fang

引用次数: 0

A Novel Fault Diagnosis Approach Integrated LRKPCA with AdaBoost.M2 for Industrial Process 一种集成LRKPCA和AdaBoost的故障诊断方法。工业过程M2

2023 IEEE 12th Data Driven Control and Learning Systems Conference (DDCLS) Pub Date : 2023-05-12 DOI: 10.1109/DDCLS58216.2023.10167144

Yuan Xu, Xue Jiang, Qun Zhu, Yanlin He, Yang Zhang, Mingqing Zhang

{"title":"A Novel Fault Diagnosis Approach Integrated LRKPCA with AdaBoost.M2 for Industrial Process","authors":"Yuan Xu, Xue Jiang, Qun Zhu, Yanlin He, Yang Zhang, Mingqing Zhang","doi":"10.1109/DDCLS58216.2023.10167144","DOIUrl":"https://doi.org/10.1109/DDCLS58216.2023.10167144","url":null,"abstract":"Facing the safety problems in industrial process, how to effectively diagnose process faults has become quite necessary and important. In this paper, a novel fault diagnosis approach integrated local reconstructed kernel principal component analysis(LRKPCA) with AdaBoost.M2 is proposed. Firstly, kernel principal component analysis(KPCA) is adopted to extract the global features through non-linear projection transformation. And local feature extraction based on t-distributed stochastic neighbor embedding(TSNE) is realized by minimizing the similarity of probability distribution of samples in high-dimensional space and low-dimensional space. Secondly, LRKPCA-based feature extraction method is proposed, in which the reconstruction error is calculated based on local features and mapped to the global feature space so that data dimension is reduced through coordinate reconstruction. Thirdly, AdaBoost.M2 is adopted to establish multi-classification model to realize fault diagnosis. Finally, the experimental results based on Tennessee Eastman process(TEP) show that the proposed method has higher diagnosis accuracy.","PeriodicalId":415532,"journal":{"name":"2023 IEEE 12th Data Driven Control and Learning Systems Conference (DDCLS)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122789272","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Event-triggered-based subspace identification fault detection with an optimized moving window 基于事件触发子空间识别的优化运动窗口故障检测

2023 IEEE 12th Data Driven Control and Learning Systems Conference (DDCLS) Pub Date : 2023-05-12 DOI: 10.1109/DDCLS58216.2023.10166698

Qi Zhang, Shenquan Wang, Wenchengyu Ji

引用次数: 0

Intelligent Structure Control System Based on FPGA 基于FPGA的智能结构控制系统

2023 IEEE 12th Data Driven Control and Learning Systems Conference (DDCLS) Pub Date : 2023-05-12 DOI: 10.1109/DDCLS58216.2023.10165993

Qiu Ruikang, Li Shengquan, Cui Ronghua, Zhang Lujin, Li Juan

引用次数: 0